Awareness and perception of prevention and management options of sexually transmitted infections among students at secondary school in Rivers State, Nigeria by Florence Mandah, Oluebubechukwu Udi, Pamela Thompsom-Abiye, Basil Ogbu

“…Content of the instrument was explained to participants in simple English language. Data were analyzed using statistical package for social sciences (SPSS) version 26.0, and presented in frequency distribution table. …”
Get full text

Atención a la diversidad y discursos sobre lecturas en Educación Superior / Attention to diversity and discourses on readings in Higher Education by Aurora Martínez Ezquerro

“…Based on the need for this training, this study analyzes the knowledge that teachers in training (Master in Teaching, Spanish Language and Literature) have about attention to diversity through readings. …”
Get full text

Exploring artificial intelligence-powered virtual assistants to understand their potential to support older adults’ search needs by Emily M. Langston, Varitnan Hattakitjamroen, Mario Hernandez, Hye Soo Lee, Hannah Ç. Mason, Willencia Louis-Charles, Neil Charness, Sara J. Czaja, Wendy A. Rogers, Joseph Sharit, Walter R. Boot

“…Results: Overall, Large Language Model (LLM)-based virtual assistants (Bard, ChatGPT-4) responded more accurately than non-LLM assistants (e.g., 6 % inaccurate responses for Bard vs. 60 % for Alexa) and provided substantially more supplemental information (79 % of responses with high supplemental information for Bard and 37 % for Chat-GPT, vs. 20 % or less for others). …”
Get full text

Impact of changes in primary care attachment: a scoping review by Kamila Premji, Leanda Godfrey, Antoine St-Amant, Jonathan Fitzsimon

“…Both qualitative and quantitative findings were synthesised narratively.Eligibility criteria Peer-reviewed, English-language articles published between 1999 and 2024 on primary care attachment changes.Information sources PubMed, Scopus and Web of Science.Results Of 2045 studies screened, 31 met inclusion criteria, with 60% published after 2020. …”
Get full text

Evaluating the impact of ESICM 2023 guidelines and the new global definition of ARDS on clinical outcomes: insights from MIMIC-IV cohort data by Duanhong Song, Qingquan Chen, Shangbin Huang, Shengxun Qiu, Zeshun Chen, Yuanhang Cai, Yifu Zeng, Xiaoyang Chen, Yixiang Zhang

“…Methods Clinical consultation data from the Medical Information Mart for Intensive Care IV database were extracted using Structured Query Language based on the PostgreSQL tool (version 10.0). …”
Get full text

Applications of Deep Learning to MRI Images: A Survey by Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang

“…Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, and is seen as a key method for various future applications. …”
Get full text

An Ontology for Digital Medicine Outcomes: Development of the Digital Medicine Outcomes Value Set (DOVeS) by Benjamin Rosner, Matthew Horridge, Guillen Austria, Tiffany Lee, Andrew Auerbach

“…MethodsFrom a starting point of a 4-generation–deep hierarchical taxonomy developed by ADviCE, we developed DOVeS using the Web Ontology Language through the open-source ontology editor Protégé, and data from 185 vendors who had submitted structured product information to ADviCE. …”
Get full text

Patient perspectives on telemedicine during the COVID-19 pandemic: a mixed-methods community-based study by Marije J. Splinter, M. Kamran Ikram, Charles W. Helsper, Patrick J.E. Bindels, Evelien I.T. de Schepper, Silvan Licher

“…Prominent themes behind patient preferences for virtual or in-person consultations were lack of nonverbal communication, lack of physical examination, consultation scheduling, personal circumstances, and the presence of somatic and/or language barriers. Conclusions Based on the experiences of a large elderly patient population, we showed that preference for virtual or in-person consultations is dependent on personal and situational variety, and their interplay. …”
Get full text

Magnetic resonance imaging-based deep learning for predicting subtypes of glioma by Zhen Yang, Zhen Yang, Peng Zhang, Yi Ding, Liyi Deng, Tong Zhang, Yong Liu

“…The receiver operating characteristic curve (ROC), area under the curve (AUC) of the ROC were generated in the jupyter notebook tool using python language to evaluate the accuracy of the models in classification and comparing the predictive value of different MRI sequences.ResultsIDHwt, IDHmut-intact and IDHmut-codel were the best classified in the model containing only FLAIR sequences, with test set AUCs of 0.790, 0.737 and 0.820, respectively; and the worst classified in the model containing only T1w sequences, with test set AUCs of 0.621, 0.537 and 0.760, respectively.ConclusionWe have developed a set of models that can effectively classify glioma subtypes and that work best when only the FLAIR sequence model is included.…”
Get full text

Excerpts from The Freedom Fight: A Novel of Resistance and Freedom. by Pamela J. Olubunmi Smith

“…Secondly, it joins the ranks of the works of only two other leading contemporary Yorùbá writers, whose attention to language make them the remaining literary and linguistic purists of the previous generation of Yorùbá writers. …”
Get full text

A woman’s place is in theatre: women’s perceptions and experiences of working in surgery from the Association of Surgeons of Great Britain and Ireland women in surgery working grou... by Maria Irene Bellini, Yitka Graham, Catherine Hayes, Roxanna Zakeri, Rowan Parks, Vassilios Papalois

“…Accounts of gendered language in the workplace were reported by 59% (n=47), with 32% (n=25) of surveys participants having used it. …”
Get full text

Barriers to healthcare professionals screening, recognizing, and managing delirium in the adult patients receiving specialist palliative care: a mixed-methods systematic review by Fang Qian, Danyang Yao, Huanhuan Shi, Tao-Hsin Tung, Dongjun Bi

“…Literature was sourced from PubMed, Web of Science, Embase, CINAHL, The Cochrane Library, and Clinical Trials databases from their inception to November 16, 2024, without language restrictions. Studies that were primary quantitative, qualitative, and mixed-methods research, and reported the barriers to healthcare professionals’ screening, recognition, and management of delirium in adult patients receiving specialist palliative care (including inpatient hospice/hospital care, consultation teams, and outpatient/community services) were included. …”
Get full text

Multicentric study of adherence to antiseizure medications among adults with epilepsy attended in neurology departments in Burkina Faso by Alfred Anselme Dabilgou, Alassane Dravé, Julie Marie Adeline Wendlamita Kyelem, Adama Kaboré, Christian Napon, Athanase Millogo, Kapouné Karfo, Jean Kaboré

“…Rural residence, celibacy, or divorce, low level of education, perception of stigmatization, and short duration of epilepsy were associated with non‐adherence. Plain Language Summary Studies on adherence to antiseizure medications are rare in Africa while patients do not have access to adequate treatment. …”
Get full text

The sphingosine‐1‐phosphate signaling pathway (sphingosine‐1‐phosphate and its receptor, sphingosine kinase) and epilepsy by Lin Wang, Qingxia Kong, Xinyi Leng, Howan Leung, Yang Li

“…Here, we summarize and analyze the role of the S1P signaling pathway in epilepsy, provide a basis for finding potential therapeutic targets and/or epileptogenic biomarkers, analyze the reasons for these controversies, and put forward our opinions. Plain Language Summary This article combines the latest research literature at home and abroad to review the sphingosine 1‐phosphate signaling pathway and epileptogenesis, drug‐resistant epilepsy, epilepsy comorbidities, other diseases that can cause epilepsy, as well as the sphingosine‐1‐phosphate signaling pathway regulators and epilepsy, with the expectation of providing a certain theoretical basis for finding potential epilepsy treatment targets and/or epileptogenic biomarkers in the sphingosine‐1‐phosphate signaling pathway.…”
Get full text

Prevalence of COVID-19 Vaccine Hesitancy Among Healthcare Workers in Nigeria: A Systematic Review and Meta-Analysis by Taagbara Jolly Abaate, Dabota Yvonne Buowari, Utchay A. Agiri, Tamunodiepiriye Inimgba, Vivian Ifeoma Ogbonna, Chizaram Onyeaghala, Glory Ovunda Worgu, Abiye Somiari, Emmanuella I. Ezebuiro, Ibe Arthur Onuah

“…ObjectiveThe purpose of this systematic review and meta-analysis was to determine the prevalence of COVID-19 vaccine hesitancy among Nigerian healthcare professionals.MethodsAn extensive language-unrestricted literature search was conducted across PubMed, Scopus, the Cochrane Library, and the African Index Medicus to identify studies reporting hesitancy to COVID-19 vaccines among healthcare workers in Nigeria. …”
Get full text

Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review by Yongxing Xu, Jianwen Gu, Mengrong Miao, Yitian Yang, Pule Li, Mengqi Jia, Zhaoyu Wen, Mengmeng Yu, Jiaqiang Zhang

“…However, meta-analyses that systematically evaluated post-COVID pain are sparse.Methods and analysis A comprehensive screening will be performed by searching MEDLINE and Embase without language restriction from inception to August 2021. …”
Get full text

Fructosamine measurement for diabetes mellitus diagnosis and monitoring: a systematic review and meta-analysis protocol by Andre Pascal Kengne, Eugene Sobngwi, Jean Jacques N Noubiap, Jobert Richie N Nansseu, Joël Fokom-Domgue, Eric V Balti

“…We aim to search for and summarise available evidence on the accuracy of fructosamine measurements to diagnose and monitor DM.Methods and analysis This systematic review will include randomised control trials, controlled before-and-after studies, time series designs, cohort studies, case–control studies and cross-sectional surveys reporting the diagnosis and/or monitoring of DM (type 1 DM, type 2 DM and gestational DM) with fructosamine compared with other measures of glycaemia (fasting glucose, oral glucose tolerance test, random glucose, HbA1c), without any language restriction. We will perform electronic searches in PubMed, Scopus and other databases, supplemented with manual searches. …”
Get full text

Re-imagining education in Haiti through a lens of de-coloniality by Rudolph Damas

“…The purpose of this paper is to widen the scope of Hebblethwaite’s discussion on language and question other social norms within educational institutions, which are having a negative impact on educational attainment. …”
Get full text

Burden and Determinant of Inadequate Dietary Diversity among Pregnant Women in Ethiopia: A Systematic Review and Meta-Analysis by Hagos Degefa Hidru, Meresa Berwo Mengesha, Yared Hailesilassie, Fissaha Tekulu Welay

“…The searches were restricted to articles published in the English language only, and Medical Subject Headings (MeSH terms) was used to help expand the search in advanced PubMed search. …”
Get full text

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…The textual data were preprocessed by natural language processing. BERTopic modeling was performed to identify topics from the posts. …”
Get full text